Results 141 to 150 of about 20,742,780 (252)
Physical activity and wellbeing among pre-service helping professionals: the role of lifestyle in a Hungarian university sample. [PDF]
Rákó E +3 more
europepmc +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
A General Nonuniqueness Result for Yamabe-Type Problems for Conformally Variational Riemannian Invariants. [PDF]
Andrade JH, Case JS, Piccione P, Wei J.
europepmc +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Division 6 Biweekly Report, July 3, 1953
Bi-weekly progress report of Division 6 research ...
Division 6 Research Staff
core
Choroid Plexus Abnormalities in Autoimmune Encephalitis. [PDF]
Sun Y, Wang N, Ge S, Feng L, Wang Q.
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Closing Remarks for the Special Issue "Advances in Endovascular Therapies and Acute Stroke Management". [PDF]
Podlasek A.
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source

